ParamHelpers (1.10)

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Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning.

https://github.com/berndbischl/ParamHelpers
http://cran.r-project.org/web/packages/ParamHelpers

Functions for parameter descriptions and operations in black-box optimization, tuning and machine learning. Parameters can be described (type, constraints, defaults, etc.), combined to parameter sets and can in general be programmed on. A useful OptPath object (archive) to log function evaluations is also provided.

Maintainer: Bernd Bischl
Author(s): Bernd Bischl [aut, cre], Michel Lang [aut], Jakob Bossek [aut], Daniel Horn [aut], Karin Schork [ctb], Jakob Richter [aut], Pascal Kerschke [aut]

License: BSD_2_clause + file LICENSE

Uses: BBmisc, checkmate, akima, ggplot2, lhs, plyr, testthat, GGally, emoa, gridExtra, reshape2, eaf, irace
Reverse depends: cmaesr, ecr, mlr, mlrMBO, smoof
Reverse suggests: flacco, llama
Reverse enhances: liquidSVM

Released 8 months ago.


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